Triple

T38442713
Position Surface form Disambiguated ID Type / Status
Subject Suba people E906541 entity
Predicate hasCulturalInteractionWith P25798 FINISHED
Object Luo people NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Luo people | Statement: [Suba people, hasCulturalInteractionWith, Luo people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCulturalInteractionWith
Context triple: [Suba people, hasCulturalInteractionWith, Luo people]
  • A. culturalInteraction chosen
    Indicates interactions or exchanges between entities that involve cultural practices, values, expressions, or influences.
  • B. hasCulturalRelation
    Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
  • C. hasCulturalPresenceOf
    Indicates that something exhibits, contains, or is characterized by the cultural influence, activities, or representation of a particular group, tradition, or culture.
  • D. hasCulturalFocusOn
    Indicates that an entity is primarily concerned with, oriented toward, or thematically centered on a particular culture or cultural aspect.
  • E. hasDistinctCultureFrom
    Indicates that the culture of one entity is different and distinguishable from the culture of another entity.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76e72878c8190a692836c8b01b58b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69feb5e66224819083b87c3707a5a5e0 completed May 9, 2026, 4:19 a.m.
PD Predicate disambiguation batch_69feb3bd700c8190991ed200cd3c04db completed May 9, 2026, 4:10 a.m.
Created at: May 3, 2026, 4:31 p.m.